make_run_es.cpp

// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-

//-----------------------------------------------------------------------------
// make_run_es.cpp
// (c) Maarten Keijzer, Marc Schoenauer and GeNeura Team, 2001
/*
    This library is free software; you can redistribute it and/or
    modify it under the terms of the GNU Lesser General Public
    License as published by the Free Software Foundation; either
    version 2 of the License, or (at your option) any later version.

    This library is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
    Lesser General Public License for more details.

    You should have received a copy of the GNU Lesser General Public
    License along with this library; if not, write to the Free Software
    Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA

    Contact: todos@geneura.ugr.es, http://geneura.ugr.es
             Marc.Schoenauer@polytechnique.fr
             mkeijzer@dhi.dk
 */
//-----------------------------------------------------------------------------

#ifdef _MSC_VER
// to avoid long name warnings
#pragma warning(disable:4786)
#endif

// The templatized code
#include <do/make_run.h>
// the instanciating EOType(s)
#include <es/eoEsSimple.h>         // one Sigma per individual
#include <es/eoEsStdev.h>          // one sigmal per object variable
#include <es/eoEsFull.h>           // full correlation matrix per indi
// the instanciating fitnesses
#include <eoScalarFitness.h>


// run
void run_ea(eoAlgo<eoEsSimple<double> >& _ga, eoPop<eoEsSimple<double> >& _pop)
{
  do_run(_ga, _pop);
}

void run_ea(eoAlgo<eoEsSimple<eoMinimizingFitness> >& _ga, eoPop<eoEsSimple<eoMinimizingFitness> >& _pop)
{
  do_run(_ga, _pop);
}

void run_ea(eoAlgo<eoEsStdev<double> >& _ga, eoPop<eoEsStdev<double> >& _pop)
{
  do_run(_ga, _pop);
}

void run_ea(eoAlgo<eoEsStdev<eoMinimizingFitness> >& _ga, eoPop<eoEsStdev<eoMinimizingFitness> >& _pop)
{
  do_run(_ga, _pop);
}

void run_ea(eoAlgo<eoEsFull<double> >& _ga, eoPop<eoEsFull<double> >& _pop)
{
  do_run(_ga, _pop);
}

void run_ea(eoAlgo<eoEsFull<eoMinimizingFitness> >& _ga, eoPop<eoEsFull<eoMinimizingFitness> >& _pop)
{
  do_run(_ga, _pop);
}